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MCP (Model Context Protocol) is a model context protocol launched by Anthropic that allows AI models (such as Claude, GPT, etc.) to call external tools through a standardized interface. With the Veo MCP Server provided by XHuoAPI, you can directly use Google Veo to generate AI videos within AI clients like Claude Desktop, VS Code, Cursor, and more.

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Feature Overview

Veo MCP Server provides the following core features:
  • Text-to-Video — Generate high-quality videos from text prompts
  • Image-to-Video — Generate videos based on images
  • Multi-Model Support — Supports models such as veo3, veo2, veo31-fast-ingredients, etc.
  • Multiple Resolutions — Supports output formats including 4K, 1080p, GIF, etc.
  • Multiple Aspect Ratios — Supports ratios such as 16:9, 9:16, etc.
  • 1080p Upgrade — Upgrade already generated videos to 1080p
  • Task Query — Monitor generation progress and retrieve results

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Prerequisites

Before use, you need to obtain an XHuoAPI API Token:
  1. Register or log in to the XHuoAPI Platform
  2. Go to the Veo Videos API page
  3. Click “Acquire” to get your API Token (first-time applicants receive free credits)

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Installation and Configuration

pip install mcp-veo

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Method 2: Source Installation

git clone https://github.com/XHuoAPI/VeoMCP.git
cd VeoMCP
pip install -e .
After installation, you can start the service using the mcp-veo command.

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Using in Claude Desktop

Edit the Claude Desktop configuration file:
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
Add the following configuration: 
{
  "mcpServers": {
    "veo": {
      "command": "mcp-veo",
      "env": {
        "XHuoAPI_API_TOKEN": "your API Token"
      }
    }
  }
}
If using uvx (no need to pre-install packages): 
{
  "mcpServers": {
    "veo": {
      "command": "uvx",
      "args": ["mcp-veo"],
      "env": {
        "XHuoAPI_API_TOKEN": "your API Token"
      }
    }
  }
}
After saving the configuration, restart Claude Desktop to use Veo-related tools in conversations.

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Using in VS Code / Cursor

Create .vscode/mcp.json in the project root directory: 
{
  "servers": {
    "veo": {
      "command": "mcp-veo",
      "env": {
        "XHuoAPI_API_TOKEN": "your API Token"
      }
    }
  }
}
Or use uvx: 
{
  "servers": {
    "veo": {
      "command": "uvx",
      "args": ["mcp-veo"],
      "env": {
        "XHuoAPI_API_TOKEN": "your API Token"
      }
    }
  }
}

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Available Tools

Tool NameDescription
veo_text_to_videoGenerate video from text prompts
veo_image_to_videoGenerate video based on images
veo_get_1080pUpgrade video to 1080p
veo_get_taskQuery the status of a single task
veo_get_tasks_batchBatch query task statuses

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Usage Examples

After configuration, you can directly invoke these features in AI clients using natural language, for example:
  • “Help me generate a starry sky time-lapse video with Veo”
  • “Generate a 4K video from this landscape photo”
  • “Create a vertical 9:16 short video”
  • “Upgrade this video to 1080p”

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More Information